Multiple Auxiliary Variables and Attributes
Mixture Regression Cum Ratio Estimator Using Multi Auxiliary Variables and Attributes in Single Phase Sampling
... Conclusion According to Table 1, the proposed mixture regression-cum-ratio estimator using multiple auxiliary variables and attributes using multiple auxiliary variables and attributes h[r] ...
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Mixture Regression Estimators Using Multi-Auxiliary Variables and Attributes in Two-Phase Sampling
... multi-auxiliary variables and attributes in two-phase sampling and investigated its finite sample properties in full, partial and no information ...either auxiliary variables or ...
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Mixture Regression Estimators Using Multi Auxiliary Variables and Attributes in Two Phase Sampling
... The Mixture Regression estimators in full information case using multiple auxiliary variables and attributes are more efficient than mean per unit, Regression estimator using one auxilia[r] ...
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Mixture Ratio Estimators Using Multi Auxiliary Variables and Attributes for Two Phase Sampling
... on auxiliary variables and attributes simultaneously in two-phase sampling under full, partial and no information cases and analyzed the properties of the estima- ...using multiple ...
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Ratio-cum-product estimator using multiple auxiliary attributes in two-phase sampling
... theory. Auxiliary variables are commonly used in sample survey practices to obtain improved designs and to achieve higher precision in the es- timates of some population parameters such as the mean or the ...
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Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling
... an auxiliary variable while Jhajj, Sharma and Grover [9] proposed a general family of estimators using information on auxiliary ...the auxiliary variables are not available ...on ...
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Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling
... an auxiliary variable while Jhajj, Sharma and Grover [9] proposed a general family of estimators using information on auxiliary ...the auxiliary variables are not available ...on ...
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Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Two Phase Sampling
... the auxiliary variables are not available, ...on auxiliary attribute in ratio estimator in estimating population mean of the variable of interest using known attributes such as coefficient of ...
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Generalized Ratio Cum Product Estimators for Two Phase Sampling Using Multi Auxiliary Variables
... According to Table 1 the proposed Ratio-cum-product estimator using multiple auxiliary variables in two phase sampling has the highest Percent relative efficiency compared to mean per un[r] ...
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Multiple Human Tracking Based on Auxiliary Particle Filter
... of multiple human tracking several methods have been proposed in the past and it is still an active research ...or multiple moving objects in a video scene, by making use of various features like color, ...
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MILP-aided Cube-attack-like Cryptanalysis on Keccak Keyed Modes
... the auxiliary variables and guessed key bits. With these variables, we could perform cube-attack-like cryptanalysis just as ...cube variables for each possible value of 48 guessed key bits and ...
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Auxiliary variables for Bayesian inference in multi class queueing networks
... Next, auxiliary variables are produced across real and virtual jumps, the subsets are loosely represented by ticks (Γ ∪ ∅ ) and crosses ({T (x 0 i−1 , x 0 i )}) for open and clamped nodes ...and ...
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Flood Hydrograph Analysis Through Employing Physical Attributes Using Two and Multiple Variables Regression Factor and Cluster Analysis
... Efficiency criteria are defined as mathematical measures of how well a model simulation fits the available observations (Beven, 2001). Models simplify the system and simulate watershed behaviors and represent the ...
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An architecture for integrated intelligence in urban management using cloud computing
... One of the critical aspects that the above research attempts to address is building the capacity and ability of a community in creating sustainable futures, and to be involved in community driven environmental decision- ...
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Generalized P-phased Regression Estimators with Single and Two Auxiliary Variables
... Sampling survey is perhaps the oldest statistical procedure to determine the accurate and useful estimates under prevailing constraints of time and money. The regression and ratio methods of estimation are two strongest ...
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A new regression type estimator with two auxiliary variables for single-phase sampling
... multi-auxiliary variables while Rao and Mudholkar [9] considered a multivariate estimator based on a weighted sum of single ratio and product es- ...
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Soft-Switching DC-DC Converters
... The auxiliary circuits chosen for the proposed converter were chosen as they are among the simplest of each ...ZCS auxiliary circuit and a passive ZVZCS auxiliary circuit has never been previously ...
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A New Regression Type Estimator with Two Auxiliary Variables for Single Phase Sampling
... multi-auxiliary variables while Rao and Mudholkar [9] considered a multivariate estimator based on a weighted sum of single ratio and product es- ...
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Response of Yield and Related Attributes of Upland Cotton to Weather Variables
... Cotton growth and development is effected by various ecological issues like temperature fluctuations, distribution and quantity of rainfall, relative humid- ity and winds which are the climate change attributes. A ...
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Improvement on estimating median for finite population using auxiliary variables in double-sampling
... Here we discussed that which median estimator is more efficient than the other median estimator in double sampling using two-auxiliary variables. Thus From the Table 2, we observed that the proposed median ...
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